Hi @ahsanhussain17999, welcome to the Community! And congratulations on sharing your first project with us
I will give you some feedback that may improve your project:
After you familiarized yourself with MarkDown, it’s a good idea to change a few things in the project to make it more professional: such as giving a meaningful title, and splitting it into easily consumable sections (for example, “Introduction”, “Data Cleaning”, “Data Analysis”, “Conclusions”). This style guide is a good start towards a huge improvement of the project’s style
Remove the space character between a square bracket and a parenthesis in the link to Wikipedia so that the system correctly interprets this MarkDown syntax
Rerun all code cells after you finished the project to make sure that everything runs smoothly and cell numbers are consecutive
" Removing details column from data to improve the readablity" - this phrase is good as a code comment
You print out a lot of data so why not give a little bit of explanation of what it means? Use MarkDown or at least print a sentence saying what data that list contains (i.e., what is [[1971, 0], [1972, 0], [1973, 0], [1974, 0], [1975, 0],...?). Also, correct the "readability typo
This comment is not useful: #years.append(0)
I’m not sure what “Instruction” comments mean: are they from DataQuest instructions?
I know that you have not been introduced to the matplotlib package in detail yet, but find a way to give a title to your plot in the documentation
Will you be able to draw a bar plot of the last table?
I hope my feedback was helpful, let me know if you have any doubts Happy coding!
Great work @ahsanhussain17999, first of I don’t think anybody here criticises destructive Ahah ,
you did great work for a start but it needs more touch, data analysis is about writing our observations from a dataset while python is just a tool used to do that, you can as well you excel to get all you’ve done today. so I think you need to tell us what the project is about and give a more detailed conclusion from what you observed. @artur.sannikov96 have given the technical corrections